DistanceMinimizationInconsistencyMeasure (Tweety (Probabilistic Conditional Logic Library) 1.16 API)

java.lang.Object
- net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<ProbabilisticConditional>
- - net.sf.tweety.logics.pcl.analysis.DistanceMinimizationInconsistencyMeasure

All Implemented Interfaces:

net.sf.tweety.commons.postulates.PostulateEvaluatable<ProbabilisticConditional>, net.sf.tweety.logics.commons.analysis.InconsistencyMeasure<net.sf.tweety.commons.BeliefSet<ProbabilisticConditional,?>>

Direct Known Subclasses:

NormalizedDistanceMinimizationInconsistencyMeasure
```
public class DistanceMinimizationInconsistencyMeasure
extends net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<ProbabilisticConditional>
```
This class models the distance minimization inconsistency measure as proposed in [Thimm,UAI,2009], extended by the use of different p-norms.

Author:

Matthias Thimm

Field Summary
- Fields inherited from interface net.sf.tweety.logics.commons.analysis.InconsistencyMeasure
  MEASURE_TOLERANCE

Constructor Summary

Constructors
Constructor	Description
`DistanceMinimizationInconsistencyMeasure()`	Creates a new measure for p=1.
`DistanceMinimizationInconsistencyMeasure(int p)`	Creates a new measure for the given p.

Method Summary

Modifier and Type	Method	Description
`Double`	`getDeviation(PclBeliefSet beliefSet, ProbabilisticConditional pc)`	Returns the deviation of the given conditional in the nearest consistent belief set.
`Double`	`inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)`

Methods inherited from class net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure
inconsistencyMeasure

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - DistanceMinimizationInconsistencyMeasure
```
public DistanceMinimizationInconsistencyMeasure()
```
    Creates a new measure for p=1.
  - DistanceMinimizationInconsistencyMeasure
```
public DistanceMinimizationInconsistencyMeasure(int p)
```
    Creates a new measure for the given p.
    
    Parameters:
    
    p - some parameter for the p-norm.
- Method Detail
  - getDeviation
```
public Double getDeviation(PclBeliefSet beliefSet,
                           ProbabilisticConditional pc)
```
    Returns the deviation of the given conditional in the nearest consistent belief set.
    
    Parameters:
    
    beliefSet - some belief set.
    
    pc - a probabilistic conditional.
    
    Returns:
    
    a double.
  - inconsistencyMeasure
```
public Double inconsistencyMeasure(Collection<ProbabilisticConditional> formulas)
```
    Specified by:
    
    inconsistencyMeasure in class net.sf.tweety.logics.commons.analysis.BeliefSetInconsistencyMeasure<ProbabilisticConditional>